Syracuse University’s Department of Electrical Engineering and Computer Science (EECS) in the College of Engineering and Computer Science invites applications for a tenure-track or tenured faculty position in Artificial Intelligence, Machine Learning, and Intelligent Systems. Ideal candidates are committed to innovative teaching, inclusive excellence, and interdisciplinary collaboration within four signature research areas: Unmanned Systems, Energy Sources Conversion and Conservation, Intelligent Systems, and Security. Further information on the strategic areas can be found online.
The Faculty hired will build on our existing strengths in the signature areas and will participate in organized research clusters that span multiple departments in the College of Arts and Sciences, Maxwell School of Citizenship and Public Affairs, Martin J. Whitman School of Management, School of Architecture, David B. Falk College of Sport and Human Dynamics and the College of Engineering and Computer Science.
Qaliﬁcations & Responsibilities
Candidates must have earned a doctoral degree in computer science or a related discipline. We strongly encourage applications from candidates with a demonstrated commitment to diversity, inclusion, and excellence in both teaching and research. Syracuse University is a Carnegie R1 ranked (highest research activity classiﬁcation) university that “aspires to be a pre-eminent and inclusive student-focused research university.”
For full consideration, candidates must complete an online application and electronically attach a cover letter, curriculum vitae, research statement, teaching statement, and contact information of three professional references. To be competitive, we strongly encourage candidates to apply early. Review of applications will continue until the positions are ﬁlled. For additional information, please contact the search committee, via email at firstname.lastname@example.org.
Syracuse University is an equal opportunity/aﬃrmative action employer with a strong commitment to equality of opportunity and a diverse workforce. Women, military veterans, individuals with disabilities, and members of other traditionally underrepresented groups are encouraged to apply.